Research on scenario-based trustworthiness evaluation method of autonomous vehicles

Yuntao Chang; Bohui Zhang; Siqi Zhou

doi:10.1117/12.3039710

28 August 2024 Research on scenario-based trustworthiness evaluation method of autonomous vehicles

Yuntao Chang, Bohui Zhang, Siqi Zhou

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132515S (2024) https://doi.org/10.1117/12.3039710
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

To meet the demand for trustworthiness evaluation of autonomous vehicles, a scenario-based trustworthiness evaluation method for autonomous vehicles is proposed. The testing scenarios are decomposed into environmental elements and task elements based on evaluation objectives, and a hierarchical structure is established for each part. By defining the complexity and coupling of each element, a method for calculating the complexity coefficient of testing scenarios is obtained. A set of trustworthiness evaluation indicators for autonomous vehicles is proposed, and the complexity coefficient of testing scenarios is incorporated into the comprehensive evaluation results to obtain the trustworthiness evaluation results based on scenarios. A comparison between existing evaluation methods before and after incorporating the complexity coefficient of testing scenarios shows that the scenario-based evaluation method can more objectively reflect the trustworthiness level of autonomous vehicles.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuntao Chang, Bohui Zhang, and Siqi Zhou "Research on scenario-based trustworthiness evaluation method of autonomous vehicles", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132515S (28 August 2024); https://doi.org/10.1117/12.3039710

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